Factors influencing the adoption of IoT healthcare products and services: An empirical study of the end consumers

Abstract

Internet of Things (IoT) technology has been increasingly applied across numerous industries. The healthcare sector, more than many others, requires advanced technologies such as IoT to enhance quality of life and improve access to healthcare and emergency services for millions of people. IoT healthcare technology enables providers to enhance the quality of patient care, communication, and diagnostic accuracy while enhancing efficiency and reducing costs. Despite the immense opportunities offered by IoT healthcare solutions, their adoption among end users remains limited due to concerns about privacy, perceived usefulness, complexity, ease of use, and high costs. Therefore, this study examines the main factors influencing customers’ adoption of IoT healthcare products and services by integrating constructs from TAM, IDT, and Privacy Calculus Theory. The demographic data were analysed in SPSS, whereas SmartPLS was used for confirmatory factor analysis (CFA), partial least squares (PLS), and structural equation modelling (SEM). The findings indicate that perceived usefulness (PU), attitude, and observability significantly positively affect patients’ willingness to adopt IoT-based healthcare technology. In contrast, perceived privacy risk, trialability, and cost did not have a substantial impact on adoption intention. The results of this research offer multiple theoretical and practical insights for the healthcare sector, as well as for researchers, policymakers, and product developers focused on implementing smart healthcare technologies